The goal of GeDi is to provide a user-friendly platform for exploring and analyzing the results of functional annotation and enrichment analyses. By integrating various enrichment methods and offering interactive visualizations, GeDi aims to streamline the process of interpreting biological data and identifying meaningful patterns within it. Through features like distance score calculation, clustering, and bookmarking, GeDi empowers users to gain deeper insights into their data and make informed decisions in their research endeavors.
You can install the development version of GeDi from GitHub with:
install.packages("devtools")
devtools::install_github("AnnekathrinSilvia/GeDi")If you want to give GeDi a testrun on a demo dataset, you can simply launch the Shiny application and load the demo data in the Data input panel. To start the Shiny Application, you can use the following code:
library("GeDi")
GeDi()You can find the rendered version of the documentation of GeDi at the
project website https://AnnekathrinSilvia.github.io/GeDi, created with
pkgdown.
If you encounter a bug, have usage questions, or want to share ideas and functionality to make this package better, feel free to file an issue.
Please note that the GeDi project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
MIT © Annekathrin Silvia Nedwed